Revolutionary Platform to Decipher Immunogenicity of Tumour Neoantigens- the Ultimate Targets for Future Immunotherapies to Eradicate Cancer

Project Information

DECOD-Ag

Grant agreement ID: 964998

DOI

10.3030/964998

EC signature date 8 March 2021

Start date 1 June 2021

End date 31 May 2026

Funded under

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Total cost

€ 2 999 993,75

EU contribution

€ 2 999 993,75

Coordinated by

UNIVERSITY COLLEGE LONDON
United Kingdom

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (4)

Preparation of responder cells

Isolation of responder cells healthy donor T cells HLAmatched to the aAPC line

Plan for communication, dissemination, and exploitation (first release)

Dissemination and communication activities planned and ongoing plan for results exploitation is in place

Project Management Plan

Generation of project management plan covering work plan monitoring quality and communication

Ethical Management Plan

A strategic document describing all the fundamental ethical issues relevant to the project and defining the procedures to be followed by all Consortium partners

Demonstrators, pilots, prototypes (1)

Stable transduction of single HLA alleles into subpools of aAPC produced in 1.2

Generation of a aAPC line expressing mutant peptides and single HLA alleles using existing vectors for common HLA types.

Websites, patent fillings, videos etc. (1)

Website and logo available

Establishment of website and logo

Open Research Data Pilot (1)

Data management plan

Generation of a data management plan containing roles and responsibilities and development of a data model to capture WP outputs

Publications

Peer reviewed articles (2)

Breaking the performance ceiling for neoantigen immunogenicity prediction

Author(s): Hugh O’Brien, Max Salm, Laura T. Morton, Maciej Szukszto, Felix O’Farrell, Charlotte Boulton, Pablo D. Becker, Yardena Samuels, Charles Swanton, Marc R. Mansour, Sine Reker Hadrup, Sergio A. Quezada
Published in: Nature Cancer, Issue 4, 2024, Page(s) 1618-1621, ISSN 2662-1347
Publisher: Nature Cancer
DOI: 10.1038/s43018-023-00675-z

A modular protein language modelling approach to immunogenicity prediction

Author(s): Hugh O’Brien, Max Salm, Laura T. Morton, Maciej Szukszto, Felix O’Farrell, Charlotte Boulton, Laurence King, Supreet Kaur Bola, Pablo D. Becker, Andrew Craig, Morten Nielsen, Yardena Samuels, Charles Swanton, Marc R. Mansour, Sine Reker Hadrup, Sergio A. Quezada
Published in: PLOS Computational Biology, Issue 20, 2024, Page(s) e1012511, ISSN 1553-7358
Publisher: PLOS Computational Biology
DOI: 10.1371/journal.pcbi.1012511